AI Meeting Assistants & Notetakers

Fellow

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Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: 1 of 6 dimensions proven

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

by Fellow Insights, Inc. · fellow.ai

An AI-assisted analysis of public evidence — not a hands-on test.

Every score, rationale and verdict on this page is AI-generated. Every claim cites the source it was read from. Nothing here is a human star review — and no score can be bought. How scores are made →

Method and versions

The Management Consultant v1.0 · The Sales Team Lead v1.0 · The Works Council Chair v1.0 · The Data Protection Officer v1.0 · The IT Lead v1.0 · The Skeptic v1.0 · rubric v1 · evaluated 6 Nov 2026

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Markdown

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Add ?theme=dark to the image address for dark backgrounds. The badge shows the category and the month of the latest evaluation, and EU-Made where that is the product’s provenance. It never shows a score.

Fellow at a glance

Vendor: Fellow Insights, Inc.
Headquarters: Not stated on the vendor’s pages as of 5 Nov 2026
Data hosting: Outside the EU by default source, captured 5 Nov 2026
Free plan: Yes, per the vendor’s own page source, captured 5 Nov 2026
Panel verdict: The AI panel rates Fellow 3.5/5, the mean of 6 judges. Fellow is an AI meeting assistant from Fellow Insights, Inc., a Canadian company. how scores are made
As of: Vendor pages captured 5 Nov 2026; evaluated by the panel 6 Nov 2026. all sources

Fellow alternatives, European ones first →

Read this page as one judge. Each weighs the same scores by what they care about.

The Data Protection Officer

Weighted verdict

Data protection officer of a private bank in Frankfurt that falls under DORA. Has to write the data protection impact assessment before the first recording. Reads the subprocessor list before the feature page, because the language model that reads the transcript is a processor too, and wants its name and region, contractual exclusion from training, retention and deletion by policy, voice profiles explained, and a DPA that matches what the security page claims.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The Data Protection Officer

Panel median The Data Protection Officer This judge’s scores over the panel median. Each label opens its reasoning below.

Scores per criterion, in stars out of 5
Criterion	Panel median	The Data Protection Officer
Recording, transcription & languages	3.5 of 5	3.5 of 5
Summaries, action items & meeting knowledge	3.5 of 5	3.5 of 5
Integrations, API & workflow	4 of 5	4 of 5
Consent, participant rights & works council	3.5 of 5	3.5 of 5
Retention, AI training & administration	3.5 of 5	3.5 of 5
European sovereignty	2 of 5	1.5 of 5
Pricing transparency	3 of 5	3 of 5

Recording, transcription & languages

How this is scored

How the conversation gets in and how faithfully it is written down: a bot that joins Zoom, Microsoft Teams, Google Meet and Webex, botless capture from a desktop or mobile app, in-person meetings and phone calls, file upload, live transcription, speaker identification and names, the languages supported with German stated, meetings that switch language, custom vocabulary for names and jargon, timestamps linked to the recording, and editing of the transcript.

0 — Does not record or transcribe meetings; a note template or agenda tool without capture.

3 — A bot that joins one or two conferencing tools and produces a transcript; languages, speaker names, in-person capture and accuracy are basic or not described.

5 — A bot for Zoom, Teams and Google Meet, a desktop or mobile app for in-person meetings, file upload, speaker identification, German among the supported languages, timestamps linked to the recording, and an editable transcript.

8 — Botless capture documented next to the bot, Webex and phone or dialer calls, live transcription, mixed-language meetings handled, custom vocabulary, speaker names learned across meetings, and the transcription engine or its accuracy per language stated.

10 — Capture a regulated team relies on: every channel above with accuracy published per language and method, dialects and specialist vocabulary documented, on-device or customer-hosted transcription as an option, and how errors are corrected and fed back stated.

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The Data Protection Officer

A visible bot covers Zoom, Google Meet and Teams, while botless capture from the Mac and Windows desktop apps extends to Slack Huddles, Webex and in-person meetings, with mobile recording and Zoom native capture as further channels. Automatic language detection covers a large language set (the captured pages give different figures for the exact count), and speaker identification runs on collected voice samples with four named exceptions. I found no public information on dialer or phone calls, custom vocabulary, transcript editing, or the transcription engine itself and its accuracy per language — that engine must be named before I can finish the DPIA. 1 2 3 12 13

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Summaries, action items & meeting knowledge

How this is scored

What the tool makes of the transcript: summaries and minutes by meeting type with editable templates, decisions and action items with owners and due dates, summaries in the meeting's language or a chosen one, follow-up emails, clips and highlights, search across all meetings, questions answered over the archive with citations back to the transcript passage, shared team folders or channels, and the minutes exported to Word, PDF or a wiki.

0 — No summaries of any kind; only the raw transcript or recording.

3 — One generic summary per meeting; templates, action items, search across meetings and citations are basic or not described.

5 — Summaries with templates per meeting type, action items and decisions extracted, the summary language selectable with German available, search across meetings, questions answered over one or several meetings, and sharing or export of the minutes.

8 — Custom templates per team, action items with owners pushed to task tools, answers that cite and link the transcript passage they rest on, topic or keyword tracking across meetings, team libraries with permissions, and the AI models used for summaries named.

10 — Meeting knowledge a company can audit: every generated statement traceable to its source passage, hallucination handling and human review documented, summary quality by language stated, and the archive queryable through an API or MCP server with the same permissions as in the app.

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The Data Protection Officer

Meeting recaps are shaped by thirteen prebuilt templates plus custom sections defined in plain language, action items with multiple assignees flow to Jira, Asana and other task tools, and Ask Fellow answers questions across all transcripts and summaries, with recap sections carrying timestamps that link back to the recording and transcript. For an auditable archive the models behind the summaries are not named, and I found no public information on citations behind the question-answering, summary language selection, topic tracking, or export of minutes to Word or PDF. 3 6 12 14 15

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Integrations, API & workflow

How this is scored

How the notes reach the place where work happens: calendar connection with rules for which meetings are recorded, CRM fields filled from the call (HubSpot, Salesforce, Pipedrive, Microsoft Dynamics), project and task tools, Slack and Microsoft Teams channels, Notion, Confluence and SharePoint, Zapier, Make or n8n, a documented REST API and webhooks, an MCP server for AI assistants, and browser extensions and native apps.

0 — No integrations and no export; the notes stay in the app.

3 — A calendar connection and an email or Slack summary; CRM, API and task tools are basic or not described.

5 — Google and Microsoft calendars, a native CRM integration (HubSpot or Salesforce), Slack or Teams, a task or wiki tool, Zapier or Make, and a documented API or webhooks.

8 — CRM field mapping per meeting type, several CRMs including Microsoft Dynamics or Pipedrive, a full REST API with webhooks and reference documentation, an MCP server, SharePoint or Confluence export, and recording rules per calendar or meeting type.

10 — An integration layer a company builds on: every object reachable by API with rate limits and versioning stated, granular OAuth scopes, data residency kept across integrations, and the integrations administered centrally with logs.

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The Data Protection Officer

Fifty-plus integrations span Google and Office 365 calendars, the Salesforce, HubSpot, Pipedrive and Freshworks CRMs, Slack, Teams, Notion, Confluence and a dozen task tools, alongside Zapier and native Mac, Windows, iOS and Android apps. The developer documentation describes a REST API with webhooks, request limits and pagination plus an MCP server, with Claude, ChatGPT and Copilot connectors, and the Enterprise tier adds AI-powered CRM field updates and workspace auto-record rules by domain, keyword or attendee type. I found no public information on Microsoft Dynamics, granular OAuth scopes or API versioning. 5 6 7 8 16 17

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Consent, participant rights & works council

How this is scored

Whether every person in the meeting knows and can decide, and whether the tool can be introduced under German co-determination: a recording notice to all participants including external guests, consent or opt-out before the recording starts, a visible bot or a stated notice for botless capture, rules for when the assistant joins automatically, stopping and deleting a recording on request, per-person analytics (talk time, sentiment, engagement scores) off by default or switchable per organisation, material or a template for a works agreement (Betriebsvereinbarung, § 87 (1) no. 6 BetrVG), and support for a data protection impact assessment.

0 — Built to record people without their knowledge, or sells covert recording or individual performance scoring as a feature.

3 — A general privacy statement and a bot that appears in the participant list; notices to guests, opt-out, per-person analytics and works councils are basic or not described.

5 — A recording notice to participants by chat message, email or the bot's name, a way for a participant to stop the recording or opt out, admin rules for when the assistant joins, recordings deletable on request, and per-person analytics described with how to switch them off.

8 — Consent collected before recording starts for external participants, per-person analytics off by default or switchable per organisation, botless capture with its notice method documented, a works-council information pack or works-agreement template published, DPIA support, and the EU AI Act classification stated.

10 — Co-determination built into the product: every analytic and its granularity documented for the works council, consent and opt-out logged per participant, configuration changes logged, minimum group sizes for any team statistics, and references of works-council-approved rollouts published.

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The Data Protection Officer

Consent capture replaces the calendar join link with a Fellow-hosted consent page about an hour before the meeting, logs who agreed or declined, warns the organizer in real time when someone declines, and can be enforced or locked workspace-wide by admins; disclosure emails, pause-and-resume with in-call notifications, logged pause events and restriction rules by domain and keyword complete a strong picture. For my works agreement I found no public information on a works-council information pack, DPIA support, the EU AI Act classification, or per-person analytics such as talk time and sentiment and how to switch them off — only an admin usage dashboard is described. Consent capture also sits exclusively on the Enterprise plan and currently on Microsoft 365 Calendar only. 1 4 5 8 18

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Retention, AI training & administration

How this is scored

What the employer can govern: retention periods and automatic deletion of recordings, transcripts and summaries, whether audio and video can be discarded after transcription, sharing defaults and link permissions, customer content excluded from model training by contract, the AI and transcription providers named with their region and their own retention, encryption, single sign-on (SAML), SCIM, roles and workspaces, admin policies on auto-recording and sharing, audit logs, export of the whole archive, and security certifications such as ISO 27001 and SOC 2.

0 — No administration and no deletion; every user decides alone and recordings are kept indefinitely.

3 — Users can delete their own recordings and a security page exists; retention policies, model training, SSO and audit logs are basic or not described.

5 — Retention settings per workspace, customer content excluded from model training, team workspaces with roles, single sign-on, admin control over sharing and auto-recording, encryption at rest and in transit, and ISO 27001 or SOC 2 stated.

8 — Automatic deletion by policy with audio discardable after transcription, the AI and transcription subprocessors named with region and zero retention, SAML with SCIM, granular roles, audit logs, legal hold or export of the full archive, and certifications with their scope published.

10 — Governance an auditor accepts: every retention, sharing and recording policy enforceable centrally and logged, models run on the vendor's own or the customer's infrastructure as an option, audit logs exportable to a SIEM, and the deletion of every copy, including at subprocessors, documented.

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The Data Protection Officer

Retention is governable end to end: separate admin-set periods for recordings, transcripts and AI notes, zero-day deletion that keeps only summary and action items, execution within an hour with removal from backups, and every retention change logged with the admin's name into an exportable, SEC Rule 17a-4 and FINRA-ready audit trail; no-training-on-customer-data is stated, SOC 2 Type II with its scope is published, and an admin toggle can sever the third-party AI providers entirely. Voice samples are addressed with an Art. 9(2)(a) explicit-consent basis, user-level access, correction and deletion, and a workspace-wide opt-out. What I cannot yet put in the DPIA: the privacy policy points to a sub-processor list including the AI providers, but no names, regions or retention terms appear in the pages I read, SCIM is evidenced only as Okta and directory provisioning, and I found no public information on legal hold. 1 2 11 19 20

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European sovereignty

How this is scored

Who the contracting entity and the parent company are, where recordings, transcripts, summaries, voice profiles and account data are stored and processed, which language model and transcription providers read them and where, and who the other subprocessors are (hosting, email, support, analytics and payment tools). Independently sourced by the sovereignty pipeline. A conferencing platform outside Europe that the customer already uses is part of the meeting, not counted against the notetaker; where the notetaker stores and processes the conversation is.

0 — Non-EU vendor and contracting entity, hosting unstated, subprocessors unnamed, and no data processing agreement offered.

3 — A privacy policy and a data processing agreement exist, but hosting location is unstated or non-EU and the subprocessors are not listed.

5 — EU hosting available and an EU contracting entity or EU representative, but parts of the chain (language models, transcription, email, support, payment) run through non-EU providers without a stated safeguard.

8 — EU hosting on named infrastructure, EU contracting entity, subprocessors including the AI providers listed with their locations, a data processing agreement published, and security certifications (ISO 27001, SOC 2) stated.

10 — Sovereign end to end and evidenced: European ownership, entity, hosting and every subprocessor, with transcription and language models run in Europe by European operators, data export and deletion documented, and certifications published with their scope rather than implied.

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The Data Protection Officer

The contracting and operating entity is Fellow Insights, Inc. of Ottawa under Ontario law, hosting is AWS in the Canada Central region, and transfers rest on adequacy decisions or Standard Contractual Clauses with GDPR-compliant data processing agreements offered. Every recording, transcript and voice profile would sit outside the EU, no EU hosting option is documented, and although a sub-processor list including the AI providers is referenced, no names or locations appear in the captured pages. For a DORA institution I would need every one of those points resolved before the first recording. 10 11 17 19

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Pricing transparency

How this is scored

Whether a buyer can compute the real annual cost from public pages alone: price per seat and tier, what counts as a seat (every invited user, only recording users), transcription minutes or credits included, storage limits, which features (CRM integrations, API access, SSO, custom retention, EU hosting, AI credits) cost extra, the free tier and its limits, monthly versus annual billing, minimum seats and VAT.

0 — No public prices at all; every customer is a sales call.

3 — A starting price or a free tier exists, but how cost scales with seats, minutes or features is unclear.

5 — Tiers are public with their seat price and main inclusions, but at least one commonly needed piece (SSO, CRM integration, API, custom retention, EU hosting, minute or credit limits) is unpriced or "on request".

8 — Every tier priced publicly with its scaling rule (seats, minutes, credits, storage), add-ons priced, what counts as a seat stated, overage handling stated, minimum term and VAT treatment stated.

10 — Complete price computability: annual cost derivable for a given team size and meeting volume, with every add-on, overage and support fee and the cancellation and data-return terms published.

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The Data Protection Officer

All four tiers carry public per-user prices in annual and monthly billing, seat maximums, an Enterprise minimum of ten users, and public plan gating for API access, single sign-on, redaction, consent capture and auto-deletion; taxes are the customer's, the trial runs thirty days without a credit card, and renewal needs thirty days' notice. I found no public information on transcription minutes or credits included, storage limits, what counts as a seat, or the price of tailored onboarding beyond "additional fee", so the real annual cost is not fully computable from public pages. 5 8 10 18 20

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European sovereignty — proven facts

1 of 6 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

Legal entity	Not determined ⚠ unverified	—	uncited Report an error
Hosting location	Outside the EU ⚠ unverified	0/4 pts	19 Report an error
Hosting options	Not determined	—	uncited Report an error
Open source	Not determined ⚠ unverified	—	uncited Report an error
Data processing agreement	Not determined	—	uncited Report an error
Transfer impact assessment	Not determined	—	uncited Report an error

Questions about Fellow

Is Fellow European?

No. whats-best.ai classifies Fellow as Rest of world.

Where does Fellow store data?

Fellow stores customer data outside the EU by default, per the vendor’s page captured 5 Nov 2026.

Does Fellow have a free plan?

Yes. Fellow has a free plan, per the vendor’s page captured 5 Nov 2026.

What are the best alternatives to Fellow?

As of 6 Nov 2026, the panel rates MeetGeek (3.5/5), Noota (3.5/5) and Jamie (3.5/5) highest among the other 14 AI Meeting Assistants & Notetakers products evaluated. Ratings that look equal are rounded to half stars; the order uses the unrounded rating, then the name. The highest-rated European alternative is MeetGeek (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Fellow alternatives.

Where this could be wrong

Evidence ages. The oldest capture behind this page is from 5 Nov 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
Weak sourcing — Legal entity, Open source. Not confirmed on the vendor’s own pages as captured.
Weak sourcing — Hosting location. The statement covers server infrastructure generally rather than explicitly customer data, and the privacy policy separately refers to a 'primary data center', suggesting other locations may exist.
AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.

What we left out

A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.

23 product facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
13 integrations facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
11 compliance facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
6 pricing facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
2 data facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
1 hosting fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
2 sovereignty dimensions could not be confirmed on the vendor’s own pages and are shown as unknown. Know more? Tell us

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Sources (20)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

1 Vendor homepage fellow.ai Checked 5 Nov 2026 Details →
2 Features page (AI meeting notes) fellow.ai Checked 5 Nov 2026 Details →
3 Features page (recording and transcription) fellow.ai Checked 5 Nov 2026 Details →
4 Features page (privacy controls) fellow.ai Checked 5 Nov 2026 Details →
5 Features page (compliance) fellow.ai Checked 5 Nov 2026 Details →
6 Integrations page fellow.ai Checked 5 Nov 2026 Details →
7 API documentation developers.fellow.ai Checked 5 Nov 2026 Details →
8 Pricing page fellow.ai Checked 5 Nov 2026 Details →
9 Trust center trust.fellow.ai Checked 5 Nov 2026 Details →
10 Terms of service fellow.ai Checked 5 Nov 2026 Details →
11 Privacy policy fellow.ai Checked 5 Nov 2026 Details →
12 Recording, transcription & languages — found from sitemap help.fellow.ai Checked 5 Nov 2026 Details →
13 Recording, transcription & languages — found from sitemap help.fellow.ai Checked 5 Nov 2026 Details →
14 Summaries, action items & meeting knowledge — found from sitemap help.fellow.ai Checked 5 Nov 2026 Details →
15 Summaries, action items & meeting knowledge — found from sitemap fellow.ai Checked 5 Nov 2026 Details →
16 Integrations, API & workflow — found from sitemap fellow.ai Checked 5 Nov 2026 Details →
17 Integrations, API & workflow — found from sitemap fellow.ai Checked 5 Nov 2026 Details →
18 Consent, participant rights & works council — found from sitemap help.fellow.ai Checked 5 Nov 2026 Details →
19 Retention, AI training & administration — found from sitemap help.fellow.ai Checked 5 Nov 2026 Details →
20 Retention, AI training & administration — found from sitemap help.fellow.ai Checked 5 Nov 2026 Details →